Unlocking Business Value With Open-Weight Large Language Models

Open-weight LLMs can unlock significant strategic advantages, delivering customization and independence in an increasingly AI ...
VentureBeat

Cohere launches Embed V3 for enterprise LLM applications

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Toronto-based AI startup Cohere has launched Embed V3, the latest ...
VentureBeat

Why small language models are the next big thing in AI

In the AI wars, where tech giants have been racing to build ever-larger language models, a surprising new trend is emerging: small is the new big. As progress in large language models (LLMs) shows ...
EurekAlert!

Beyond bigger models: How efficient multimodal AI is redefining the future of intelligence

Multimodal large language models have shown powerful abilities to understand and reason across text and images, but their ...
Forbes

How To Leverage Large Language Models For Engineering And More

Leveraging large language model (LLM) technology and implementing enterprise-specific chat systems and generative AI can significantly accelerate engineering processes within an organization. These ...

Dify Makes Self-Hosted LLM Development Simple : Swap Models, Add RAG & Launch Faster

Self-host Dify in Docker with at least 2 vCPUs and 4GB RAM, cut setup friction, and keep workflows controllable without deep ...
Semiconductor Engineering

Small Language Models: A Solution To Language Model Deployment At The Edge?

While Large Language Models (LLMs) like GPT-3 and GPT-4 have quickly become synonymous with AI, LLM mass deployments in both training and inference applications have, to date, been predominately cloud ...
Computerworld

With genAI models, size matters (and smaller may be better)

The future of generative AI could rely on smaller language models for every application an enterprise uses, models that would be both more nimble and customizable — and more secure. As organizations ...